GitHub

Fine-tuning sequence-to-expression models on personal genome and transcriptome data

The code base for our work on improving the performance of sequence-to-expression models for making individual-specific gene expression predictions by fine-tuning them on personal genome and ...
IEEE

Transformer Models for Code Review Comment Generation: A Performance Comparison on GitHub Data

Abstract: Automated code review is an essential aspect of modern software development, enhancing code quality and maintainability. In this study, the performance of four pre-trained transformer based ...

New Gemini Agentic Vision Update : Plans, Acts & Checks Its Own Visual Work

Gemini 3 Flash adds active vision with Python code execution, lifting accuracy by 5 to 10%, so you can trust verified results.

Toborlife AI Provided Unitree Go2 Robot to Shoal River Middle School for Foundational AI and Coding

Toborlife AI provided Unitree Go2 Edu robots at Shoal River Middle School in Crestview, FL, enhancing their STEM ...
WinBuzzer

Google DeepMind Adds Agentic Vision to Gemini 3 Flash

Google DeepMind has added Agentic Vision to Gemini 3 Flash, enabling active image exploration through Python code execution with 5-10% quality improvements.
InfoWorld

CPython vs. PyPy: Which Python runtime has the better JIT?

JIT compiler stack up against PyPy? We ran side-by-side benchmarks to find out, and the answers may surprise you.
GitHub

Can Large Language Models Predict Parallel Code Performance?

We took this version of HeCBench and are modifying it to build the CUDA and OMP codes to gather their roofline performance data. So far we have a large portion of the CUDA and OMP codes building ...